Benchling

Data Engineer

San Francisco, CA, Remote. Posted 2 months ago

The role

You will build and operate production-grade data pipelines and warehouse infrastructure. You will own core pipelines end to end and partner with the AI engineering side to provide governed data for AI initiatives.

What you will do

  • Build and operate the ELT pipeline moving data from product, Salesforce, and third-party systems into Snowflake
  • Model data with dbt to production standards including testing, monitoring, and schema versioning
  • Partner with AI engineering to make governed, trustworthy data available for agentic AI tooling and internal AI applications
  • Maintain Snowflake access controls (RBAC)
  • Monitor data quality
  • Uphold PII-handling and data-access policy
  • Manage warehouse cost and performance
  • Contribute to warehouse architecture and semantic layer/metrics store design

Required qualifications

  • 3+ years of professional experience building and operating production data pipelines
  • Strong SQL and Python skills
  • Hands on experience with data modeling methodologies and tools
  • Experience applying software engineering practices to data systems including version control, code review, CI/CD, and automated testing
  • Comfort working with cloud infrastructure (AWS or similar) supporting production pipelines
  • Experience with Snowflake or a comparable modern cloud data warehouse in production
  • Comfort with orchestration tooling (Airflow or similar)
  • Track record supporting many stakeholders across departments such as Sales, CS, Product, Finance
  • Understanding of data privacy, governance, quality, and testing frameworks and best practices
  • Strong communication skills
  • Comfortable in a small, fast-moving, still-forming team

Nice to have

  • Familiarity with product behavioral data and a modern BI tool (Sigma, Omni, Looker, Tableau)
  • Experience with product/usage analytics instrumentation and event-taxonomy governance
  • Familiarity with GTM analytics tools such as Salesforce
  • Exposure to AI-usage telemetry, LLM observability data, or supporting AI/ML tooling with curated data
  • Background in enterprise SaaS, life sciences, or biotech
  • Experience building or maintaining a metrics layer
  • Experience with dbt

Before you apply

  • You'll complete a brief AI-focused exercise or discussion

About the company

Benchling is the AI platform for biotech R&D. Over 200,000 scientists around the world trust Benchling to power their most important work.